Punt Ans, Bos Peter, Hakkert Betty, Louisse Jochem
WFSR - Wageningen Food Safety Research, Wageningen, The Netherlands.
RIVM - The National Institute for Public Health and the Environment, Bilthoven, The Netherlands.
ALTEX. 2023;40(2):237–247. doi: 10.14573/altex.2202131. Epub 2022 Jul 22.
In vitro toxicokinetic data are critical in meeting an increased regulatory need to improve chemical safety evaluations towards a better understanding of internal human chemical exposure and toxicity. In vitro intrinsic hepatic clearance (CLint), the fraction unbound in plasma (fup), and the intestinal apparent permeability (Papp) are important parameters as input in a physiologically based kinetic (PBK) model to make first estimates of internal exposure after oral dosing. In the present study we explored the experimental variation in the values for these parameters as reported in the literature. Furthermore, the impact that this experimental variation has on PBK model predictions of maximum plasma concentration (Cmax) and the area under the concentration time curve (AUC0-24h) was determined. As a result of the experimental variation in CLint, Papp, and fup, the predicted variation in Cmax for individual compounds ranged between 1.4- to 28-fold, and the predicted variation in AUC0-24h ranged between 1.4- and 23-fold. These results indicate that there are still some important steps to take to achieve robust data that can be used in regulatory applications. To gain regulatory acceptance of in vitro kinetic data and PBK models based on in vitro input data, the boundaries in experimental conditions as well as the applicability domain and the use of different in vitro kinetic models need to be described in guidance documents.
体外毒代动力学数据对于满足日益增长的监管需求至关重要,即改进化学物质安全性评估,以便更好地了解人体内部化学物质暴露情况和毒性。体外固有肝清除率(CLint)、血浆中未结合分数(fup)和肠道表观渗透率(Papp)是重要参数,可作为基于生理学的动力学(PBK)模型的输入,用于初步估算口服给药后的体内暴露量。在本研究中,我们探讨了文献报道的这些参数值的实验变异性。此外,还确定了这种实验变异性对PBK模型预测的最大血浆浓度(Cmax)和浓度-时间曲线下面积(AUC0-24h)的影响。由于CLint、Papp和fup的实验变异性,各化合物预测的Cmax变异范围在1.4至28倍之间,预测的AUC0-24h变异范围在1.4至23倍之间。这些结果表明,要获得可用于监管应用的可靠数据,仍有一些重要步骤需要采取。为了使基于体外输入数据的体外动力学数据和PBK模型获得监管认可,指导文件需要描述实验条件的界限以及不同体外动力学模型的适用范围和使用方法。